Opportunity Description
YOUR RESPONSIBILITIES:
Design and architecture of reasoning and decision-capable AI agent systems for automotive applicationsIntegration of LLMs and retrieval-augmented generation (RAG) techniques into engineering workflowsDevelopment of frameworks for agent autonomy, verification, and explainability in technical domainsApply agentic systems to real-world engineering challenges in powertrain and vehicle systems developmentCollaboration with academic partners on fundamental AI explainability and transparency research YOUR PROFILE:
Completed education (University or University of Applied Sciences, University of Technology, or comparable) with a focus on Computer Science, Software Engineering, or a closely related discipline; completion by August 2026 at the latest and eligibility for admission to a doctoral program are requiredStrong foundational knowledge in Large Language Mo...
Full-time
Engineers